I am trying to parse some docstrings.
An example docstrings is:
Test if a column field is larger than a given value
This function can also be called as an operator using the '>' syntax
Arguments:
- DbColumn self
- string or float value: the value to compare to
in case of string: lexicographic comparison
in case of float: numeric comparison
Returns:
DbWhere object
Both the Arguments
and Returns
parts are optional. I want my regex to return as groups the description (first lines), the Arguments
part (if present) and the Returns
part (if present).
The regex I have now is:
m = re.search('(.*)(Arguments:.*)(Returns:.*)', s, re.DOTALL)
and works in case all three parts are present but fails as soon as Arguments
or the Returns
parts are not available. I have tried several variations with the non-greedy modifiers like ??
but to no avail.
Edit: When the Arguments
and Returns
parts are present, I actually would only like to match the text after Arguments:
and Returns:
respectively.
Thanks!
Try with:
re.search('^(.*?)(Arguments:.*?)?(Returns:.*)?$', s, re.DOTALL)
Just making the second and third groups optional by appending a ?
, and making the qualifiers of the first two groups non-greedy by (again) appending a ?
on them (yes, confusing).
Also, if you use the non-greedy modifier on the first group of the pattern, it'll match the shortest possible substring, which for .*
is the empty string. You can overcome this by adding the end-of-line character ($
) at the end of the pattern, which forces the first group to match as few characters as possible to satisfy the pattern, i.e. the whole string when there's no Arguments
and no Returns
sections, and everything before those sections, when present.
Edit: OK, if you just want to capture the text after the Arguments:
and Returns:
tokens, you'll have to tuck in a couple more groups. We're not going to use all of the groups, so naming them —with the <?P<name>
notation (another question mark, argh!)— is starting to make sense:
>>> m = re.search('^(?P<description>.*?)(Arguments:(?P<arguments>.*?))?(Returns:(?P<returns>.*))?$', s, re.DOTALL)
>>> m.groupdict()['description']
"Test if a column field is larger than a given value\n This function can also be called as an operator using the '>' syntax\n\n "
>>> m.groupdict()['arguments']
'\n - DbColumn self\n - string or float value: the value to compare to\n in case of string: lexicographic comparison\n in case of float: numeric comparison\n '
>>> m.groupdict()['returns']
'\n DbWhere object'
>>>
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